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- W3199440953 abstract "It is said that every adversity presents the opportunity to grow. The current pandemic is a lesson to all healthcare infrastructure stakeholders to look at existing setups with an open mind. This chapter's proposed solution offers technology assistance to manage patient data effectively and extends the hospital data management system's capability to predict the upcoming need for healthcare resources. Further, the authors intend to supplement the proposed solution with crowdsourcing to meet hospital demand and supply for unprecedented medical emergencies. The proposed approach would demonstrate its need in the current pandemic scenario and prepare the healthcare infrastructure with a more streamlined and cooperative approach than before." @default.
- W3199440953 created "2021-09-27" @default.
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- W3199440953 date "2022-01-01" @default.
- W3199440953 modified "2023-09-23" @default.
- W3199440953 title "ML-Enabled Informed Intervention for Crowdsourcing-Based Optimization of Medical Resources" @default.
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- W3199440953 doi "https://doi.org/10.4018/978-1-7998-7709-7.ch017" @default.
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